Efficient depth map upsampling method using standard deviation

Abstract

In this paper, we present an adaptive multi-lateral filtering method to increase depth map resolution. Joint bilateral upsampling (JBU) increases the resolution of a depth image considering the photometric property of corresponding high-resolution color image. The JBU uses both a spatial weighting function and a color weighting function evaluated on the data values. However, JBU causes a texture copying problem. Standard deviation is a measure that is used to quantify the amount of variation or dispersion of a set of data in image. Therefore, it includes an edge information in the each kernel. In the proposed method, we decrease the texture copying problem of the upsampled depth map by using adaptive weighting functions are chosen by the edge information. Experimental results show that the proposed method outperformed compared to the other depth upsampling approaches in terms of bad pixel rate.